Cargando…
Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function
Electroencephalography (EEG) and functional Magnetic Resonance Imaging (MRI) have long been used as tools to examine brain activity. Since both methods are very sensitive to changes of synaptic activity, simultaneous recording of EEG and fMRI can provide both high temporal and spatial resolution. Th...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371554/ https://www.ncbi.nlm.nih.gov/pubmed/35966000 http://dx.doi.org/10.3389/fnsys.2022.934266 |
_version_ | 1784767176680407040 |
---|---|
author | Ebrahimzadeh, Elias Saharkhiz, Saber Rajabion, Lila Oskouei, Homayoun Baghaei Seraji, Masoud Fayaz, Farahnaz Saliminia, Sarah Sadjadi, Seyyed Mostafa Soltanian-Zadeh, Hamid |
author_facet | Ebrahimzadeh, Elias Saharkhiz, Saber Rajabion, Lila Oskouei, Homayoun Baghaei Seraji, Masoud Fayaz, Farahnaz Saliminia, Sarah Sadjadi, Seyyed Mostafa Soltanian-Zadeh, Hamid |
author_sort | Ebrahimzadeh, Elias |
collection | PubMed |
description | Electroencephalography (EEG) and functional Magnetic Resonance Imaging (MRI) have long been used as tools to examine brain activity. Since both methods are very sensitive to changes of synaptic activity, simultaneous recording of EEG and fMRI can provide both high temporal and spatial resolution. Therefore, the two modalities are now integrated into a hybrid tool, EEG-fMRI, which encapsulates the useful properties of the two. Among other benefits, EEG-fMRI can contribute to a better understanding of brain connectivity and networks. This review lays its focus on the methodologies applied in performing EEG-fMRI studies, namely techniques used for the recording of EEG inside the scanner, artifact removal, and statistical analysis of the fMRI signal. We will investigate simultaneous resting-state and task-based EEG-fMRI studies and discuss their clinical and technological perspectives. Moreover, it is established that the brain regions affected by a task-based neural activity might not be limited to the regions in which they have been initiated. Advanced methods can help reveal the regions responsible for or affected by a developed neural network. Therefore, we have also looked into studies related to characterization of structure and dynamics of brain networks. The reviewed literature suggests that EEG-fMRI can provide valuable complementary information about brain neural networks and functions. |
format | Online Article Text |
id | pubmed-9371554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93715542022-08-12 Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function Ebrahimzadeh, Elias Saharkhiz, Saber Rajabion, Lila Oskouei, Homayoun Baghaei Seraji, Masoud Fayaz, Farahnaz Saliminia, Sarah Sadjadi, Seyyed Mostafa Soltanian-Zadeh, Hamid Front Syst Neurosci Systems Neuroscience Electroencephalography (EEG) and functional Magnetic Resonance Imaging (MRI) have long been used as tools to examine brain activity. Since both methods are very sensitive to changes of synaptic activity, simultaneous recording of EEG and fMRI can provide both high temporal and spatial resolution. Therefore, the two modalities are now integrated into a hybrid tool, EEG-fMRI, which encapsulates the useful properties of the two. Among other benefits, EEG-fMRI can contribute to a better understanding of brain connectivity and networks. This review lays its focus on the methodologies applied in performing EEG-fMRI studies, namely techniques used for the recording of EEG inside the scanner, artifact removal, and statistical analysis of the fMRI signal. We will investigate simultaneous resting-state and task-based EEG-fMRI studies and discuss their clinical and technological perspectives. Moreover, it is established that the brain regions affected by a task-based neural activity might not be limited to the regions in which they have been initiated. Advanced methods can help reveal the regions responsible for or affected by a developed neural network. Therefore, we have also looked into studies related to characterization of structure and dynamics of brain networks. The reviewed literature suggests that EEG-fMRI can provide valuable complementary information about brain neural networks and functions. Frontiers Media S.A. 2022-07-28 /pmc/articles/PMC9371554/ /pubmed/35966000 http://dx.doi.org/10.3389/fnsys.2022.934266 Text en Copyright © 2022 Ebrahimzadeh, Saharkhiz, Rajabion, Oskouei, Seraji, Fayaz, Saliminia, Sadjadi and Soltanian-Zadeh. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Systems Neuroscience Ebrahimzadeh, Elias Saharkhiz, Saber Rajabion, Lila Oskouei, Homayoun Baghaei Seraji, Masoud Fayaz, Farahnaz Saliminia, Sarah Sadjadi, Seyyed Mostafa Soltanian-Zadeh, Hamid Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function |
title | Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function |
title_full | Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function |
title_fullStr | Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function |
title_full_unstemmed | Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function |
title_short | Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function |
title_sort | simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function |
topic | Systems Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371554/ https://www.ncbi.nlm.nih.gov/pubmed/35966000 http://dx.doi.org/10.3389/fnsys.2022.934266 |
work_keys_str_mv | AT ebrahimzadehelias simultaneouselectroencephalographyfunctionalmagneticresonanceimagingforassessmentofhumanbrainfunction AT saharkhizsaber simultaneouselectroencephalographyfunctionalmagneticresonanceimagingforassessmentofhumanbrainfunction AT rajabionlila simultaneouselectroencephalographyfunctionalmagneticresonanceimagingforassessmentofhumanbrainfunction AT oskoueihomayounbaghaei simultaneouselectroencephalographyfunctionalmagneticresonanceimagingforassessmentofhumanbrainfunction AT serajimasoud simultaneouselectroencephalographyfunctionalmagneticresonanceimagingforassessmentofhumanbrainfunction AT fayazfarahnaz simultaneouselectroencephalographyfunctionalmagneticresonanceimagingforassessmentofhumanbrainfunction AT saliminiasarah simultaneouselectroencephalographyfunctionalmagneticresonanceimagingforassessmentofhumanbrainfunction AT sadjadiseyyedmostafa simultaneouselectroencephalographyfunctionalmagneticresonanceimagingforassessmentofhumanbrainfunction AT soltanianzadehhamid simultaneouselectroencephalographyfunctionalmagneticresonanceimagingforassessmentofhumanbrainfunction |